Victor Amelkin

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Analysis of opinion dynamics in social networks plays an important role in today's life. For applications such as predicting users' political preference, it is particularly important to be able to analyze the dynamics of competing opinions. While observing the evolution of polar opinions of a social network's users over time, can we tell when the network "(More)
This work is an attempt to analyze parallel communication for parallel sparse Cholesky factorization algorithms. The current immediate goal is to compute the volume of parallel communication as well as the number of messages sent during parallel communication for the right-looking Cholesky factorization algorithm. The notation used in this work is mostly(More)
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